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Ensemble and Regression Algorithms f...

de Vasconcelos Feijao Filho, Romulo,

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Ensemble and Regression Algorithms for Stock Market Forecasting in Pre-Pandemic and Pandemic Scenarios /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Ensemble and Regression Algorithms for Stock Market Forecasting in Pre-Pandemic and Pandemic Scenarios // Romulo de Vasconcelos Feijao Filho.
Author:	de Vasconcelos Feijao Filho, Romulo,
Description:	1 electronic resource (28 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-11.
Contained By:	Masters Abstracts International85-11.
Subject:	Forecasting. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31014312
ISBN:	9798382568959

Ensemble and Regression Algorithms for Stock Market Forecasting in Pre-Pandemic and Pandemic Scenarios /
de Vasconcelos Feijao Filho, Romulo,

Ensemble and Regression Algorithms for Stock Market Forecasting in Pre-Pandemic and Pandemic Scenarios /Romulo de Vasconcelos Feijao Filho. - 1 electronic resource (28 pages)

Source: Masters Abstracts International, Volume: 85-11.

Understanding and forecasting stock prices can be extremely profitable for people and useful for governments, specially in pandemic and pre-pandemic scenarios. The development of a machine learning model that can predict market behavior is the ultimate challenge. Therefore, many studies have been applying machine learning models in the context of stock prices forecasting. Model and feature selection is extremely important for any machine learning problem, so comparative studies are extremely important. In this work a comparative study is developed to evaluate tuned ensemble and regression models for predicting future stock prices.

English

ISBN: 9798382568959Subjects--Topical Terms:

547120
Forecasting.

Ensemble and Regression Algorithms for Stock Market Forecasting in Pre-Pandemic and Pandemic Scenarios /
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